{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import sys\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scanpy.api as sc\n",
    "from anndata import AnnData\n",
    "\n",
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib as mpl\n",
    "\n",
    "sys.path.append(\"../\")\n",
    "from args_parser import get_parser\n",
    "from model.mars import MARS\n",
    "from model.experiment_dataset import ExperimentDataset\n",
    "from data.benchmarks import BenchmarkData\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setting parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading default parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "params, unknown = get_parser().parse_known_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Namespace(cuda=False, epochs=30, epochs_pretrain=25, learning_rate=0.001, lr_scheduler_gamma=0.5, lr_scheduler_step=20, manual_seed=3, model_file='trained_models/source.pt', pretrain=True, pretrain_batch=None)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking if CUDA device is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "if torch.cuda.is_available() and not params.cuda:\n",
    "        print(\"WARNING: You have a CUDA device, so you should probably run with --cuda\")\n",
    "device = 'cuda:0' if torch.cuda.is_available() and params.cuda else 'cpu'\n",
    "params.device = device"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading Cellbench dataset. Datasets are already concatenated and only the subset of genes that appears in both datasets is retained"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 4373 × 10217 \n",
       "    obs: 'experiment', 'ground_truth'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata = sc.read_h5ad('../benchmark_datasets/cellbench.h5ad')\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)\n",
    "sc.pp.scale(adata, max_value=10, zero_center=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pp.neighbors(adata, n_neighbors=30, use_rep='X')\n",
    "sc.pp.pca(adata, n_comps=50)\n",
    "sc.tl.tsne(adata)\n",
    "sc.pl.tsne(adata, color=['experiment','ground_truth'],size=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10x_5cl', 'CelSeq2_5cl']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets = list(set(adata.obs['experiment']))\n",
    "datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train and evaluate MARS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use 10x as annotated, and CelSeq2 as unannotated "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare annotated, unannotated and pretrain datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_10x = adata[adata.obs['experiment'] == '10x_5cl',:]\n",
    "exp_celseq2 = adata[adata.obs['experiment'] == 'CelSeq2_5cl',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 3803 items \n",
      "== Dataset: Found 5 classes\n"
     ]
    }
   ],
   "source": [
    "y_10x = np.array(exp_10x.obs['ground_truth'], dtype=np.int64)\n",
    "annotated = ExperimentDataset(exp_10x.X.toarray(), exp_10x.obs_names, exp_10x.var_names, '10x', y_10x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 570 items \n",
      "== Dataset: Found 5 classes\n"
     ]
    }
   ],
   "source": [
    "y_celseq2 = np.array(exp_celseq2.obs['ground_truth'], dtype=np.int64) # ground truth annotations will be only used for evaluation\n",
    "unannnotated = ExperimentDataset(exp_celseq2.X.toarray(), exp_celseq2.obs_names, exp_celseq2.var_names, 'celseq2', y_celseq2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "pretrain_data = ExperimentDataset(exp_celseq2.X.toarray(), exp_celseq2.obs_names, exp_celseq2.var_names, 'celseq2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_clusters = len(np.unique(unannnotated.y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialize MARS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars = MARS(n_clusters, params, [annotated], unannnotated, pretrain_data, hid_dim_1=1000, hid_dim_2=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run MARS in evaluation mode. Ground truth annotations will be used to evaluate MARS performance and scores will be returned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pretraining..\n",
      "\n",
      "=== Epoch: 30 ===\n",
      "Train acc: 1.0\n"
     ]
    }
   ],
   "source": [
    "# return only unannotated dataset with save_all_embeddings=False\n",
    "adata, landmarks, scores = mars.train(evaluation_mode=True, save_all_embeddings=False) # evaluation mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 570 × 10217 \n",
       "    obs: 'MARS_labels', 'truth_labels'\n",
       "    uns: 'MARS_embedding'\n",
       "    obsm: 'MARS_embedding'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check MARS performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': 1.0,\n",
       " 'adj_mi': 1.0,\n",
       " 'adj_rand': 1.0,\n",
       " 'f1_score': 1.0,\n",
       " 'nmi': 1.0,\n",
       " 'precision': 1.0,\n",
       " 'recall': 1.0}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize in MARS embedding space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create anndata object using MARS embeddings as X\n",
    "adata_mars = AnnData(adata.obsm['MARS_embedding'])\n",
    "adata_mars.obs['MARS_labels'] = pd.Categorical(adata.obs['MARS_labels'])\n",
    "adata_mars.obs['ground_truth'] = pd.Categorical(adata.obs['truth_labels'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(570, 100)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(adata_mars.X) # 100-dimensional MARS embeddings space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize only unannotated dataset\n",
    "sc.pp.neighbors(adata_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(adata_mars)\n",
    "sc.pl.umap(adata_mars, color=['ground_truth','MARS_labels'],size=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use CelSeq2 as annotated, and 10x as unannotated "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 570 items \n",
      "== Dataset: Found 5 classes\n",
      "== Dataset: Found 3803 items \n",
      "== Dataset: Found 5 classes\n"
     ]
    }
   ],
   "source": [
    "annotated = ExperimentDataset(exp_celseq2.X.toarray(), exp_celseq2.obs_names, exp_celseq2.var_names, 'celseq2', y_celseq2)\n",
    "unannnotated = ExperimentDataset(exp_10x.X.toarray(), exp_10x.obs_names, exp_10x.var_names, '10x', y_10x)\n",
    "pretrain_data = ExperimentDataset(exp_10x.X.toarray(), exp_10x.obs_names, exp_10x.var_names, '10x')\n",
    "n_clusters = len(np.unique(unannnotated.y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run MARS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars = MARS(n_clusters, params, [annotated], unannnotated, pretrain_data, hid_dim_1=1000, hid_dim_2=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pretraining..\n",
      "\n",
      "=== Epoch: 30 ===\n",
      "Train acc: 1.0\n"
     ]
    }
   ],
   "source": [
    "adata, landmarks, scores = mars.train(evaluation_mode=True, save_all_embeddings=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': 1.0,\n",
       " 'adj_mi': 1.0,\n",
       " 'adj_rand': 1.0,\n",
       " 'f1_score': 1.0,\n",
       " 'nmi': 1.0,\n",
       " 'precision': 1.0,\n",
       " 'recall': 1.0}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create anndata object using MARS embeddings as X\n",
    "adata_mars = AnnData(adata.obsm['MARS_embedding'])\n",
    "adata_mars.obs['MARS_labels'] = pd.Categorical(adata.obs['MARS_labels'])\n",
    "adata_mars.obs['ground_truth'] = pd.Categorical(adata.obs['truth_labels'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize only unannotated dataset\n",
    "sc.pp.neighbors(adata_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(adata_mars)\n",
    "sc.pl.umap(adata_mars, color=['ground_truth','MARS_labels'],size=50)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3 (rnaenv)",
   "language": "python",
   "name": "rnaenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
